Creating a Game Prototype with Amazon Q and Amazon Bedrock (Prompt Engineering on AWS)

In the era of generative AI impacting various industries, developers can leverage Amazon Bedrock and Amazon Q to kickstart their journey with developing generative AI and LLM applications efficiently. This video demonstrates generating a classic Greedy Snake game prototype using English prompts with Amazon Bedrock and Amazon Q to directly generate the code. It aims to spark developers' interest in utilizing these services for generative AI application development. At the end, the video summarizes best practices of prompt engineering on AWS, serving as a reference for generative AI and LLM developers.

Resources:
???? Community.AWS: From Concept to Playable in Seconds: Creating the Greedy Snake Game with Amazon Q Developer
https://community.aws/content/2mlndUmDADGwEWfv2K5SUmgJCM4/
???? Community.AWS: From Concept to Playable in seconds: Creating the Greedy Snake Game with Amazon Bedrock
https://community.aws/content/2jOAm3ljdrqiMd3oyCEpcqo3ooF/
???? Learn more: https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-engineering-guidelines.html
???? Learn more: AWS Game Builder Challenge: a hackathon for Developers
https://awsdevchallenge.devpost.com/

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Chapters:
00:00 Introduction
01:00 Agenda
01:49 Prompt Engineering Overview
03:02 Demo #1: Creating a Greedy Snake Game Prototype with Amazon Bedrock
03:53 Prompt for Demo #1
05:02 Code Generation by Llama 3.1 70B Instruct Model on Amazon Bedrock for Demo #1
06:18 Testing with Visual Studio Code for Demo #1
08:46 Demo #2: Creating a Greedy Snake Game Prototype with Amazon Q
09:17 Prompt for Demo #2
09:40 Code Generation with Amazon Q Developer for Demo #2
12:29 Testing with Visual Studio Code for Demo #2
13:33 Prompt Engineering Best Practices
15:48 Resources and Further Studies

#GenerativeAI #AmazonBedrock #AmazonQ